| bio | website | |
|---|---|---|
| location | Utah | |
| age | ||
| visits | member for | 1 year, 1 month |
| seen | 6 hours ago | |
| stats | profile views | 22 |
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7h |
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multiple regression analysis This question has been answered before. Look under the Related Header to the right. |
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May 8 |
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Variance of a time series fitted to an ARIMA model I think the variance of the fitted values is is: var(demandts.train.arima.fit) which is also different |
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May 8 |
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Variance of a time series fitted to an ARIMA model So as you see the sigma2 is different from the variance of your x variable, also it is different from the variance of the residuals: var(residuals(demandts.train.arima)). |
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May 7 |
answered | Variance of a time series fitted to an ARIMA model |
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Apr 25 |
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How to draw the regression line and the scatterplot between observed and predicted in R If the observed and the predicted were very close to each other they would be on a diagonal line on your plot. So you may just want to add abline(0,1) after your plot above? |
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Apr 15 |
awarded | Yearling |
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Feb 23 |
revised |
Type of Distribution deleted 4 characters in body |
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Feb 21 |
answered | Type of Distribution |
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Nov 12 |
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Independence test for values between 0 and 1 Do your observations represent the number of events over the same number of trials? |
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Aug 9 |
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Does anyone know how this visualization was made? the language "processing" can do interactive graphics and 3d. There are examples at both processing.org and openprocessing.org. |
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Aug 8 |
revised |
How to generate nice summary table? added 33 characters in body |
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Aug 7 |
revised |
How to generate nice summary table? added 66 characters in body |
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Aug 7 |
answered | How to generate nice summary table? |
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Aug 1 |
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R/Bayes: Why is a wildly different prior not affecting the posterior in bayesglm{arm}? Your data has 2000 points. If the data has high precision and large N this is what I would expect. If you sample the data down to just 50 observations, the estimates change more with different priors. |
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Jul 31 |
awarded | Citizen Patrol |
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Jul 26 |
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What's the distribution of these data? +1 Mixture models are useful. Especially if you have data that is generated under two or more different circumstances. |
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Jul 26 |
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What's the distribution of these data? @Macro Many 'off the shelf' distributions can handle both skewed and heavy tailed situations. F and Gamma come to mind, along with nearly all 3 and 4 parameter distributions. I just added an answer so the original poster would have an idea about how to quantify the 'goodness of fit', and make numerical comparisons. |
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Jul 26 |
answered | What's the distribution of these data? |
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Jul 5 |
revised |
How to test the statistical significance for categorical variable in linear regression? fixing the code listing |
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Jul 5 |
suggested | suggested edit on How to test the statistical significance for categorical variable in linear regression? |